Protecting privacy in outsourced computing

Zhaohong Wang, Senching S. Cheung

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Secure multi-party computation or secure MPC is an important tool for protecting data privacy. Nowadays, when data owners outsourced their data to third-parties, like those cloud platforms, secure MPC can be established to protect privacy while enabling computations. This chapter first overviews the system architecture of typical secure MPC frameworks, both in two-party andmulti-party settings. Second, the chapter analyzes the potential collusion attack in the information-theoretic secure MPC, a multi-party distributed scenario. Third, the chapter describes an efficient collusion-deterred mechanism by means of mechanism design and its theoretical verification.

Original languageEnglish
Title of host publicationWorld Scientific Reference On Innovation
Number of pages28
ISBN (Electronic)9789813147034
StatePublished - Mar 20 2018

Bibliographical note

Publisher Copyright:
© 2018 by World Scientific Publishing Co. Pte. Ltd.


  • Collusion deterrence
  • Privacy
  • Secure computations

ASJC Scopus subject areas

  • General Economics, Econometrics and Finance
  • General Business, Management and Accounting


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